DEVELOPMENT... OpenML
Run
131903

Run 131903

Task 3564 (Supervised Classification) analcatdata_germangss Uploaded 26-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(2)_I80
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.445
Per class
Build CPU time
1.0883
Build memory
366028503.2
F measure
0.1832
Per class
Kappa
-0.09
KB relative information score
9.3157
Mean absolute error
0.405
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.184
Per class
Predictive accuracy
0.1825
Prior entropy
2
Recall
0.1825
Per class
Relative absolute error
1.0799
Root mean prior squared error
0.433
Root mean squared error
0.6096
Root relative squared error
1.4078
SciMark benchmark
943.7751